<p>Result of binary and multivariable logistic regression analysis for associated factors

Results of binary and multivariable logistic regression analysis for factors associated with clinical outcomes among mechanically ventilated patients. The dataset contains analysis results from 411 patients in the adult intensive care unit at Jimma Medical Center from 2019 to 2023. Abera Mulatu Uma published the data on figshare under a CC-BY-4.0 license.

Use Cases

• Identify significant predictors of clinical outcomes based on the regression analysis results.
• Validate or compare regression models for ICU patient mortality or morbidity.
• Inform clinical decision-making for ventilator management by highlighting associated factors.

Strengths

• Analysis is based on a specific cohort of 411 patients.
• Covers a 5-year time range from 2019 to 2023.
• Results include both binary and multivariable logistic regression outputs.

Limitations

• The dataset is very small at 9.5 KB, suggesting it contains summary statistics rather than raw patient data.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Logistic regression analysis of patient records.

Time Range

2019 to 2023

Freshness

Last updated 2026-04-21 17:45:33; freshness should be verified.

Geography

Jimma Medical Center, Ethiopia